Azure Databricks

We hope you enjoy this collection of resources for Azure Databricks. Keep an eye on the BlueGranite Blog for additional Azure Databricks and machine learning news.

Featured Webinar

An Introduction to Azure Databricks

Azure Databricks is an exciting new service in Azure for AI, data engineering, and data science. Built on Apache Spark, Azure Databricks is capable of processing and modeling data of all sizes and shapes, and it integrates seamlessly with Azure services.It also provides a collaborative environment where users can work together in a secure, interactive workspace. This unified platform can make it easier and provide a faster time-to-market for AI solutions built on Azure.

DATABRICKS RECOGNIZES BLUEGRANITE AS 2019 PARTNER OF THE YEAR

AZURE DATABRICKS SERVICES

Azure DatabricksWorkshop

In this 1-day, on-site workshop, up to 10 attendees from your organization will receive a detailed overview of Azure Databricks, giving them an understanding of where and how it fits into the Azure Data Platform.

Azure DatabricksProof of Concept

In this 1-2 week Proof of Concept, BlueGranite experts will work with your organization to demonstrate Azure Databricks capabilities for data engineering or data science, depending on the needs of your team.

Azure Databricks& Spark

These all day sessions are co-sponsored by BlueGranite and Microsoft. We introduce a deep dive experience into Azure Databricks.Check out our Event's Page to learn more about future dates and locations across the US.

FEATURED SOLUTION BRIEF

Global Energy Leader Preempts Downtime with Predictive Maintenance

A global oil and gas company, headquartered in the U.S., has delivered results for decades by staying abreast of technology. It recently set out to harness the power of predictive analytics in anticipation of reducing equipment service interruptions. Such interruptions resulted in lost production and increased maintenance and replacement costs.

SOLUTION BRIEF HIGHLIGHTS:

The company can now store all its data in a single place. Azure Data Lake Store provides unlimited storage for all sensor data across all pumps and all years of service.

The data science team can now process all its data at once. Using the distributed compute platform, Apache Spark on Azure Databricks, allows the team to process the data in parallel across nodes of a cluster, therefore reducing the processing time.

The solution allows the team to continue using familiar languages, like Python and SQL.